The post Adani commits $5 billion to support Google’s new AI hub in southern India appeared on BitcoinEthereumNews.com. Gautam Adani is putting down $5 billion to back Google’s new AI hub in southern India, according to a report by Bloomberg. The money is going into a data center complex being built in Visakhapatnam, a port city in Andhra Pradesh, through Adani’s infrastructure arm AdaniConneX Pvt., which is a joint venture between Adani Enterprises and EdgeConneX. The investment figure was confirmed by Jugeshinder Singh, Adani’s chief financial officer, during a press event held this week in Mumbai. He said the final details are still being sorted, but the commitment is solid. The project is being built in partnership with Alphabet Inc. Singh didn’t give a breakdown of how the capital will be deployed, but the hub is expected to anchor India’s largest AI data campus so far. Singh made it clear that this is part of a wider plan to expand digital infrastructure to meet rising demand across sectors using artificial intelligence. The announcement follows similar mega-deals pouring into India’s data center space, all racing to build the back-end for global AI services. Reliance, Tata, and OpenAI target Andhra Pradesh Just days before Singh’s statement, Reliance Industries confirmed it had signed an $11 billion agreement through its unit Digital Connexion to develop its own data center projects in Visakhapatnam. That deal came right after Tata Consultancy Services secured $1 billion in backing from TPG Inc. to fast-track its data infrastructure goals. All of them are headed to Andhra Pradesh. CBRE Group estimates that India’s total data center market could top $100 billion by 2027, and this city on the southeastern coast has suddenly become a magnet for new development.Google, Amazon, and OpenAI are all part of that wave. Amazon plans to spend $12.7 billion on building cloud infrastructure in India by 2030. OpenAI, meanwhile, is hunting for space to… The post Adani commits $5 billion to support Google’s new AI hub in southern India appeared on BitcoinEthereumNews.com. Gautam Adani is putting down $5 billion to back Google’s new AI hub in southern India, according to a report by Bloomberg. The money is going into a data center complex being built in Visakhapatnam, a port city in Andhra Pradesh, through Adani’s infrastructure arm AdaniConneX Pvt., which is a joint venture between Adani Enterprises and EdgeConneX. The investment figure was confirmed by Jugeshinder Singh, Adani’s chief financial officer, during a press event held this week in Mumbai. He said the final details are still being sorted, but the commitment is solid. The project is being built in partnership with Alphabet Inc. Singh didn’t give a breakdown of how the capital will be deployed, but the hub is expected to anchor India’s largest AI data campus so far. Singh made it clear that this is part of a wider plan to expand digital infrastructure to meet rising demand across sectors using artificial intelligence. The announcement follows similar mega-deals pouring into India’s data center space, all racing to build the back-end for global AI services. Reliance, Tata, and OpenAI target Andhra Pradesh Just days before Singh’s statement, Reliance Industries confirmed it had signed an $11 billion agreement through its unit Digital Connexion to develop its own data center projects in Visakhapatnam. That deal came right after Tata Consultancy Services secured $1 billion in backing from TPG Inc. to fast-track its data infrastructure goals. All of them are headed to Andhra Pradesh. CBRE Group estimates that India’s total data center market could top $100 billion by 2027, and this city on the southeastern coast has suddenly become a magnet for new development.Google, Amazon, and OpenAI are all part of that wave. Amazon plans to spend $12.7 billion on building cloud infrastructure in India by 2030. OpenAI, meanwhile, is hunting for space to…

Adani commits $5 billion to support Google’s new AI hub in southern India

Gautam Adani is putting down $5 billion to back Google’s new AI hub in southern India, according to a report by Bloomberg. The money is going into a data center complex being built in Visakhapatnam, a port city in Andhra Pradesh, through Adani’s infrastructure arm AdaniConneX Pvt., which is a joint venture between Adani Enterprises and EdgeConneX.

The investment figure was confirmed by Jugeshinder Singh, Adani’s chief financial officer, during a press event held this week in Mumbai. He said the final details are still being sorted, but the commitment is solid.

The project is being built in partnership with Alphabet Inc. Singh didn’t give a breakdown of how the capital will be deployed, but the hub is expected to anchor India’s largest AI data campus so far.

Singh made it clear that this is part of a wider plan to expand digital infrastructure to meet rising demand across sectors using artificial intelligence. The announcement follows similar mega-deals pouring into India’s data center space, all racing to build the back-end for global AI services.

Reliance, Tata, and OpenAI target Andhra Pradesh

Just days before Singh’s statement, Reliance Industries confirmed it had signed an $11 billion agreement through its unit Digital Connexion to develop its own data center projects in Visakhapatnam.

That deal came right after Tata Consultancy Services secured $1 billion in backing from TPG Inc. to fast-track its data infrastructure goals. All of them are headed to Andhra Pradesh.

CBRE Group estimates that India’s total data center market could top $100 billion by 2027, and this city on the southeastern coast has suddenly become a magnet for new development.Google, Amazon, and OpenAI are all part of that wave.

Amazon plans to spend $12.7 billion on building cloud infrastructure in India by 2030. OpenAI, meanwhile, is hunting for space to install a 1-gigawatt data center somewhere in the region. That’s the scale of what’s happening now.

Nara Lokesh, technology minister for Andhra Pradesh, said the Visakhapatnam site alone accounts for over $10 billion in total investment from Google, and added that it’s not just about tech jobs.

“It’s about the larger ripple effect that it creates, the economic activity it creates,” Lokesh said in an interview. He’s part of the Telugu Desam Party, the group led by his father, Chief Minister Nara Chandrababu Naidu, and they’ve both been pushing hard to make Andhra Pradesh the new destination for hyperscale tech deals.

Modi allies back AI buildout with subsidies and land

The state government is already offering subsidized land and power to lure more private players into the region.

That support ties into the larger national strategy pushed by Prime Minister Narendra Modi, who has made tech investment a major part of his second-term economic plan.

But the road isn’t smooth. Power supply in India remains unstable, and water access is becoming a concern as AI data farms suck up huge amounts of both.

Lokesh said they’re working on long-term solutions and are in talks about creating new national-level policies to help companies settle in the region. “We are willing to have conversations which might even require policy intervention at the federal level,” he said. He described their plan as a “double engine, a bullet train” approach to get everything moving faster.

Thomas Kurian, the CEO of Google Cloud, said the Visakhapatnam campus is being built “to provide a full AI infrastructure” not just for Google’s use, but also for entrepreneurs, enterprises, and commercial users across India. Kurian spoke to reporters in New Delhi about how the facility will support AI applications across industries.

Andhra Pradesh has a goal of hitting 6 gigawatts of data center capacity by 2029, with Visakhapatnam leading the charge. The state previously helped turn Hyderabad into a global tech city in the 1990s under Naidu’s leadership, landing major campuses for companies like Microsoft and Oracle.

Don’t just read crypto news. Understand it. Subscribe to our newsletter. It’s free.

Source: https://www.cryptopolitan.com/indias-adani-bankrolls-google-with-5-billion/

Market Opportunity
Sleepless AI Logo
Sleepless AI Price(AI)
$0,0383
$0,0383$0,0383
-0,02%
USD
Sleepless AI (AI) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Why 100 Percent Test Coverage is Not Possible — Lessons from Testing Banking and Healthcare Systems

Why 100 Percent Test Coverage is Not Possible — Lessons from Testing Banking and Healthcare Systems

Quality is not about testing everything; quality is about testing what is most important.
Share
Hackernoon2025/12/26 16:05
US eyes crypto mining at disputed nuclear plant in Russia-Ukraine conflict: report

US eyes crypto mining at disputed nuclear plant in Russia-Ukraine conflict: report

The plant is located in Ukraine and has been under Russian control since 2022, with its future management a key issue in peace talks.
Share
Coinstats2025/12/26 18:58
Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Share
PANews2025/09/18 07:00